A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications

An important component of a spatial clustering algorithm is the distance measure between sample points in object space. In this paper, the traditional Euclidean distance measure is replaced with innovative obstacle distance measure for spatial clustering under obstacle constraints. Firstly, we prese...

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Vydáno v:	Computational Intelligence and Neuroscience Ročník 2014; číslo 2014; s. 37 - 47
Hlavní autoři:	Zhang, Ji, Ding, Xintao, Luo, Yonglong, Sun, Liping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cairo, Egypt Hindawi Limiteds 01.01.2014 Hindawi Publishing Corporation John Wiley & Sons, Inc
Témata:	Algorithms Approximation Artificial Intelligence Cluster Analysis Clustering Comparative analysis Computational Biology Economic models Experiments Geospatial data Hogs Humans Immune system Immune System - physiology Obstacles Operations research Optimization Similarity
ISSN:	1687-5265, 1687-5273, 1687-5273
On-line přístup:	Získat plný text
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